Some context in the era of Linked Data

Introduction Knowledge Graphs (KGs) are currently on the rise. In their latest Hype Cycle for Artificial Intelligence (2018), Gartner highlighted: “The rising role of content and context for delivering insights with AI technologies, as well as recent knowledge graph offerings for AI applications have pulled knowledge graphs to the surface.” We can roughly di […]

Knowledge graphs are essential for any information architecture built upon semantics and AI. The Linked Data Life Cycle provides guideline for data governance within the semantic web framework. The post Knowledge Graphs – Connecting the Dots in an Increasingly Complex World appeared first on Semantic Web Company.

With the UN predicting that more than 70 percent of the world’s population will live in urban areas by 2050, the development of sustainable smart cities is a rising need. Cities are now capable of collecting and analyzing enormous amounts of data to automate processes, improve service quality, and to make better decisions. This opens ... The post How Semanti […]

Drupal is one of the favourite enterprise content management systems. Especially government and non-governmental organizations embrace this open source platform to build advanced digital experiences. Over the last years, we have been developing several PoolParty semantic technology features and modules that integrate natively into Drupal. In this blog post, […]

In our recent endeavor to import in PoolParty the Google Product taxonomy in different languages, we encountered some challenges that needed to be addressed. The first challenge was that the Google Product taxonomy is in Excel (XLS) format, and for each language there is a separate file. The second challenge is on how to align ... The post Data wrangling wit […]

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Linked Data and the Semantic Web have been around for quite a while and have been hyped again and again. In the meantime, a large number of enterprises and even whole industries have adopted semantic web technologies for several purposes (for example, visit Allotrope Foundation). “Gartner’s Hype Cycle 2015 for Advanced Analytics and Data Science” has put Linked Data into the trough of disillusionment, which is another clear indicator to be ready for takeoff.

The pace of semantic web technology adoption may vary from industry to industry, but in average it has increased even more than expected. Just in 2012, Gartner has predicted that the Semantic Web won’t reach the plateau of productivity within the next 10 years, only three years later it seems like it will be there in 5 to 10 years.

Linked Data Hype or not, it has entered the adoption phase. In the next 5 years we finally can see to which degree enterprises will use semantic web technologies for data analytics, data integration, and knowledge discovery.

What are the main obstacles that are frequently mentioned by potential users? Which best practices for implementing linked data on a larger scale have already been developed? What are the ‘low-hanging fruits’, and how could a concrete action plan look like? Will the often predicted interlinking of an open semantic web and corporate semantic webs take place? Which other technology (of the above mentioned hype cycles) might play a crucial role as an enabler for enterprise linked data? Which other (mega-)trends will influence the pace of linked data adoption, and which related organisational challenges should be expected?

Please visit Andreas Blumauer’s talk ‘Linked Data – The Next 5 Years: From Hype to Action’ at SEMANTiCS 2016 in Leipzig to get some valuable impulses for your Linked Data project!